Exam 14: Chi-Square Test
Exam 1: Introduction and Mathematical Preliminaries146 Questions
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Exam 3: Measures of Central Tendency and Variability154 Questions
Exam 4: Percentiles,percentile Ranks,standard Scores,and the Normal Distribution176 Questions
Exam 5: Pearson Correlation and Regression: Descriptive Aspects152 Questions
Exam 6: Probability149 Questions
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Exam 8: Hypothesis Testing: Inferences About a Single Mean160 Questions
Exam 9: Principles of Research Design and Statistical Preliminaries for Analyzing Bivariate Relationships150 Questions
Exam 10: Independent Groups T-Test149 Questions
Exam 12: One-Way Repeated Measures Analysis of Variance140 Questions
Exam 13: Pearson Correlation and Regression: Inferential Aspects143 Questions
Exam 14: Chi-Square Test145 Questions
Exam 15: Nonparametric Statistics135 Questions
Exam 16: Two-Way Between-Subjects Analysis of Variance117 Questions
Exam 17: Overview and Extension: Statistical Tests for More Complex Designs124 Questions
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In a chi-square test,the null hypothesis states that ______.
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If the researcher suspects that the strength of the relationship between two variables in the population is .50 as indexed by Cramer's statistic,what sample size should she use in a study involving a 3 x 3 contingency table and an alpha level of .05 to achieve a power of .70?
(Multiple Choice)
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To assess the strength of the relationship,Cramer's statistic is used when _____,and the fourfold point correlation coefficient is used when _____.
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Because of sampling error,a chi-square computed from sample data might be _____ even when the null hypothesis is true.
(Multiple Choice)
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Because the relationship between two variables can take a number of different forms,the alternative hypothesis for the chi-square test,as with the F test in analysis of variance,is directional in nature.
(True/False)
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